From 2ae0ca2a7b044c0c5a11cc9d223afefdd884f771 Mon Sep 17 00:00:00 2001
From: zm711 <92116279+zm711@users.noreply.github.com>
Date: Fri, 24 Jan 2025 17:18:11 -0500
Subject: [PATCH 1/2] do Igor demo from g-node

---
 examples/plot_igorio.py | 46 ++++++++++++++++++++---------------------
 1 file changed, 22 insertions(+), 24 deletions(-)

diff --git a/examples/plot_igorio.py b/examples/plot_igorio.py
index 5afcf9932..53b30da7e 100644
--- a/examples/plot_igorio.py
+++ b/examples/plot_igorio.py
@@ -1,41 +1,39 @@
 """
-IgorProIO Demo (BROKEN)
+IgorProIO Demo
 =======================
 
 """
 
 ###########################################################
 # Import our packages
-import os
+
 from urllib.request import urlretrieve
-import zipfile
 import matplotlib.pyplot as plt
 from neo.io import get_io
 
 #############################################################
 # Then download some data
-# Downloaded from Human Brain Project Collaboratory
-# Digital Reconstruction of Neocortical Microcircuitry (nmc-portal)
-# http://microcircuits.epfl.ch/#/animal/8ecde7d1-b2d2-11e4-b949-6003088da632
-# NOTE: this dataset is not found as the link is broken.
+# we can try out some data on the NeuralEnsemble ephy testing repo
 
-# datafile_url = "https://microcircuits.epfl.ch/data/released_data/B95.zip"
-# filename_zip = "B95.zip"
-# filename = "grouped_ephys/B95/B95_Ch0_IDRest_107.ibw"
-# urlretrieve(datafile_url, filename_zip)
+url_repo = "https://web.gin.g-node.org/NeuralEnsemble/ephy_testing_data/raw/master/"
+distantfile = "igor/win-version2.ibw"
+localfile = "win-version2.ibw"
+urlretrieve(distantfile, localfile)
 
-# zip_ref = zipfile.ZipFile(filename_zip)  # create zipfile object
-# zip_ref.extract(path=".", member=filename)  # extract file to dir
-# zip_ref.close()
 
 # ######################################################
-# # Once we have our data we can use `get_io` to find an
-# # io (Igor in this case). Then we read the analogsignals
-# # Finally we will make some nice plots
-# reader = get_io(filename)
-# signal = reader.read_analogsignal()
-# plt.plot(signal.times, signal)
-# plt.xlabel(signal.sampling_period.dimensionality)
-# plt.ylabel(signal.dimensionality)
-
-# plt.show()
+# Once we have our data we can use `get_io` to find an
+# io (Igor in this case). Then we read the analogsignals
+# Finally we will make some nice plots
+#
+# Note: not all IOs have all types of read functionality
+# see our documentation for a better understanding of the 
+# Neo object hierarchy and the functionality of differnt IOs
+
+reader = get_io(localfile)
+signal = reader.read_analogsignal()
+plt.plot(signal.times, signal)
+plt.xlabel(signal.sampling_period.dimensionality)
+plt.ylabel(signal.dimensionality)
+
+plt.show()

From 5962a8a9bca0c9bd9db7507d494b356fb744ee67 Mon Sep 17 00:00:00 2001
From: zm711 <92116279+zm711@users.noreply.github.com>
Date: Fri, 24 Jan 2025 17:27:21 -0500
Subject: [PATCH 2/2] oops!

---
 examples/plot_igorio.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/plot_igorio.py b/examples/plot_igorio.py
index 53b30da7e..0ee086b74 100644
--- a/examples/plot_igorio.py
+++ b/examples/plot_igorio.py
@@ -16,7 +16,7 @@
 # we can try out some data on the NeuralEnsemble ephy testing repo
 
 url_repo = "https://web.gin.g-node.org/NeuralEnsemble/ephy_testing_data/raw/master/"
-distantfile = "igor/win-version2.ibw"
+distantfile = url_repo + "igor/win-version2.ibw"
 localfile = "win-version2.ibw"
 urlretrieve(distantfile, localfile)